{"id":"W2140109599","doi":"10.1111/ecog.00997","title":"Host phenology, geographic range size and regional occurrence explain interspecific variation in damselfly–water mite associations","year":2014,"lang":"en","type":"article","venue":"Ecography","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Tree Research and Education Endowment Fund","keywords":"Damselfly; Biology; Ecology; Range (aeronautics); Parasitism; Host (biology); Mite; Interspecific competition; Generalist and specialist species; Phenology; Species richness; Abundance (ecology); Zoology; Odonata; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004585063,0.0001646012,0.0001918909,0.0007068008,0.0003471228,0.0003144382,0.0002448082,0.0001664514,0.001450269],"category_scores_gemma":[0.001167428,0.0001421044,0.0002153499,0.0004175448,0.0003492957,0.0002954939,0.0002734585,0.0001730844,0.00014856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004632573,"about_ca_system_score_gemma":0.0003750026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05165844,"about_ca_topic_score_gemma":0.2346794,"domain_scores_codex":[0.9998247,0.00004859154,0.00001007583,0.00004860289,0.00003247113,0.0000355874],"domain_scores_gemma":[0.9987665,0.0004029407,0.0003934816,0.000101068,0.0001594862,0.0001764179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002591578,0.000009764646,0.9934593,0.000007966511,0.00005517502,0.00003431362,0.000330738,0.00004426589,0.004208924,0.00002150013,0.0000324346,0.001769655],"study_design_scores_gemma":[2.411159e-7,0.000005104861,0.9997298,7.940336e-7,0.00000433243,0.00001750429,0.00007162223,0.00008641128,0.00004637714,0.000006335241,0.00003057298,7.416412e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994987,0.00008695611,0.0001298131,0.000008904492,7.087539e-7,0.000002322457,0.00004698542,0.000002449518,0.0002230192],"genre_scores_gemma":[0.9996746,0.00002436324,0.0001380833,0.000005197766,9.4456e-7,0.000001507294,0.00005127053,0.00000151601,0.0001026452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05165844,"threshold_uncertainty_score":0.1027156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711220251171957,"score_gpt":0.2023416639531913,"score_spread":0.1852294614414717,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}